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OR58 Stream - OR Modelling for Humanitarian Operations Management (HOM

Stream Organiser

Ashraf Labib
(more information)

Email: ashraf.labib@port.ac.uk

Richard Teeuw
(more information)

Email: richard.teeuw@port.ac.uk

Reza Abdi
(more information)

Email: r.abdi@bradford.ac.uk

 

Stream Definition

The stream will focus on decision support models, simulation techniques and advanced technologies that can facilitate structuring and analysis of response to major failures and disasters. This  includes, but is not limited to, logistics of humanitarian rescue teams, criteria to support decision making process for disaster risk reduction, humanitarian operations, learning from failures, use of decision analysis techniques to assess effects influencing causes and critical success/failure factors, optimisation of manufacturing and service operations for humanitarian logistics and OR in disruption management

Bio

Ashraf Labib

Professor Labib has engineering and management science backgrounds. He has been the Associate Dean Research for the Portsmouth Business School and the Director of the Professional Doctorate of Business Administration (DBA).  He has published over 130-refereed papers. He has been director of studies of 9 doctorate candidates (PhDs/DBAs) to completion.  He has published a recent book by Elsevier on Learning from failures: decision analysis of major disasters (Labib, 2014).

Richard Teeuw

Dr Teeuw is a Principal Lecturer in applied geoinformatics at the University of Portsmouth, where he manages the MSc in Crisis and Disaster Management.  His career started at Stirling University (Scotland), examining the geomorphology of the Sierra Leone diamondfields. He has extensive experience of using geomorphology and geoinformatics (remote sensing and GIS) to map natural resources, hazards, vulnerability and risk, consulting for BP, Rio Tinto and Shell International , as well as the UK Environment Agency and the overseas development agencies of Canada (CIDA), Germany (GTZ), Japan (JICA) and the UK (DfID). His recent research focuses on monitoring global Data Poverty and uses of sustainable geoinformatics (FOSS GIS and free geospatial data), supported by Multi-Criteria Decision Analysis, for disaster risk reduction.

Reza Abdi

Reza has  20 years of academic and industrial experience and consultancy in the areas of production and operations management, manufacturing engineering, supply chain management, and decision support systems, particularly in the areas of computer modelling and simulation, multi-criteria decision modelling, analytical hierarchical process (AHP), analytical network process (ANP), fuzzy logic, Markov chains, and systems dynamics. Reza has  published a number of highly cited peer reviewed journal articles, two research books (in process), and several book chapters and 30+ papers in international conference proceedings in the area of operations management and reconfigurable manufacturing, and environment management.

Reza  has successfully completed supervision of 6 doctoral theses and completed a number of innovative technology projects in the area of supply chain management and lean manufacturing, computer simulation, data mining, quality management and six sigma, information management, and environment management. Reza is currently supervising 5 doctoral students in the area of supply chain risk management, performance management system, and strategic management. Reza has  supervised 50+ master dissertations including a number of company-based projects in various subjects including manufacturing systems and supply chain and operation and information management.

 

Full List of Streams